物流服务供应链仿真与利益分配研究

发布时间：2018-05-05 09:14

本文选题：物流服务供应链 + 广义随机Petri网　；参考：《天津财经大学》2014年硕士论文

【摘要】：自上世纪60年代开始,服务业开始成为发达国家的经济重心, 国内生产总值中服务业比例急速攀升,“服务型经济”成为全新的世界经济局面。由于客户对物流需求日益多样化,对物流企业的物流服务能力提出更高的要求,单一物流企业无法满足这一需求。越来越多的功能型物流企业被物流服务集成商吸纳为供应商,满足客户日益集约化的物流需求,物流服务供应链LSSC (Logistics Service Supply Chain)应运而生。论文主要对物流服务供应链进行分析,从功能型物流服务提供商利益分配和供应链绩效评价两个方面对物流服务供应链进行分析,采用广义随机Petri网的方法对物流服务供应链进行绩效评价。分析了新型物流模式云物流模式下功能型物流服务提供商的利益分配,提出二阶段分配方法。采用了广义随机Petri网的方法对其进行建模分析,从两个方面对物流服务供应链进行绩效评价。国内外学者所集中研究的领域包括：物流服务供应链结构的研究、协调机制的研究以及将Petri网应用在传统意义上的产品供应链,通过这些发现,Petri网是构建物流服务供应链模型的理想系统语言。将广义随机Petri网(Generalized Stochastic Petri Nets, GSPN)应用到物流服务供应链中,根据广义随机Petri网的特性和物流服务供应链的架构,建立物流服务供应链模型,并结合Petri网与马尔可夫链的关系优势,对所建立的物流服务供应链模型进行非静态性能的分析,最后通过实证研究,得出定性的分析结果,从而可以分析物流服务供应链的时间性能、运作效率。传统模式下的物流服务供应链功能型物流服务提供商的利益分配采用的方法主要集中在纳什均衡、最大最小法、Sharply值法等方法,在研究这些方法的基础上,根据云物流模式下的相关特点,提出了二阶段的综合利益分配方法。本文的创新之处在于通过对广义随机Petri网的性能分析,建立相应的物流服务供应链GSPN模型。并且对所建立的GSPN模型,用MATLAB进行求解仿真,对所求的结果进行实证研究；并且提出在云物流模式下功能型物流服务提供商的两阶段利益分配方法。
[Abstract]:Since the 60s of the last century, the service industry began to become the economic center of the developed countries, the proportion of service industry in the gross domestic product is rising rapidly, and the "service economy" has become a new world economic situation. As the customers are increasingly diversified in the logistics demand, the logistics service ability of the logistics enterprises is higher, and the single logistics enterprise is a single logistics enterprise. The industry is unable to meet this demand. More and more functional logistics enterprises are absorbed by logistics service providers as suppliers to meet the increasingly intensive logistics demand of customers. The logistics service supply chain LSSC (Logistics Service Supply Chain) emerges as the times require. This paper mainly analyzes the supply chain of logistics service and raises the service from functional logistics service. The supply chain of logistics service is analyzed in two aspects: the distribution of supplier interests and the performance evaluation of supply chain. The method of generalized random Petri net is used to evaluate the performance of logistics service supply chain. The benefit distribution of the functional logistics service provider under the model of the new logistics model is analyzed, and the two stage distribution method is proposed. The method of generalized stochastic Petri nets is modeled and analyzed. The performance evaluation of logistics service supply chain is carried out in two aspects. The research fields of domestic and foreign scholars include: the research on the supply chain structure of logistics service, the research of the coordination mechanism and the product supply chain which applies the Petri network to the traditional sense, through these discoveries, Pe Tri network is an ideal system language for constructing the logistics service supply chain model. The Generalized Stochastic Petri Nets (GSPN) is applied to the logistics service supply chain. According to the characteristics of the generalized random Petri network and the framework of the logistics service supply chain, the logistics service supply chain model is set up, and the Petri network and the Markov chain are combined with the Markov chain. The relationship between the chain and the logistics service supply chain model is analyzed. Finally, the qualitative analysis results are obtained through the empirical study, thus the time performance and operation efficiency of the logistics service supply chain can be analyzed. The benefit distribution of the logistics service supply chain function logistics service provider under the traditional mode The methods used mainly focus on Nash equilibrium, maximum minimum method, Sharply value method and so on. Based on the study of these methods, according to the characteristics of the cloud logistics model, a two stage comprehensive benefit allocation method is proposed. The innovation of this paper is to establish the corresponding logistics suit through the performance analysis of the generalized random Petri network. The GSPN model of the supply chain and the GSPN model established by MATLAB are used to simulate and simulate the results, and the two stage benefit allocation method of the functional logistics service provider under the cloud logistics model is put forward.

【学位授予单位】：天津财经大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP301.1;F274

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